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Boston University’s College of Engineering relies upon high-performance computing throughout its academic and research areas. Our facilities include an experimental CPU/GPU cluster, a GPU cluster, a CPU cluster, cycle-harvesting of six computer classrooms, three private clusters in three different research labs, and easy access to University-level and large HPC-center facilities.
All of these resources are tied together by the Eng-Grid, which provides single-sign-on access to all queues. All College of Engineering users, from undergraduate through faculty, are automatically granted access to the grid’s public queues. This allows us to easily incorporate HPC methodologies into our curricula, which includes:
- High Performance Computing with Multicore and GPUs
- Parallel Computer Architecture
- Applied Algorithms for Engineers
- Numerical Methods and Modeling in Biomedical Engineering
- GPU@BU Workshop
Faculty and students in the College of Engineering are utilizing high performance computing in numerous research projects, including:
- Design and runtime management of manycore systems
- Lattice methods for statistical mechanics
- Configurable computing with FPGAs
- Algorithms for large-scale micromagnetic modeling and molecular dynamics simulation
- Cochlear and binaural hearing simulation
- Photon transport modeling in tissue for optical pharmacokinetics
The College of Engineering has played a central role in developing and mentoring the Boston University team in the SC11 Student Cluster Competition. Half of the students on this team, as well as the team advisor, are from the College of Engineering.
Boston University undergraduate students Michael Abed, Darko Stosic, Dusan Stosic, and Terry Black preparing for the SC11 Student Cluster Competition
